Non-Equilibrium Information Transfer in Quantum Computing Models

Jincheng Zhang

Published Aug 31, 2026• 0 citations

Abstract

This paper proposes a novel quantum computing model predicated on information transfer within non-equilibrium states. Traditional quantum computing models largely assume equilibrium conditions, limiting their potential applications in scenarios involving dynamically changing environments. This research investigates the feasibility and mechanics of quantum computation under non-equilibrium conditions, leveraging the principles of quantum entanglement and exploiting the unique properties arising from non-equilibrium physics. The core argument centers on the divergence of information transfer mechanisms when systems are not in equilibrium, leading to a fundamentally different approach to quantum computation. The model outlined here offers an expanded scope for quantum computing, specifically addressing the potential for computation in systems exhibiting constant flux and dynamic interactions. We present a theoretical framework for this model, focusing on the manipulation of quantum states to achieve computational tasks within a non-equilibrium setting. This work lays the groundwork for future exploration of quantum computation in complex, real-world scenarios.

DOI: 10.5281/zenodo.22202791

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